Results 71 to 80 of about 662,175 (342)
Visual object tracking based on Motion-Adaptive Particle Filter under complex dynamics
EURASIP Journal on Image and Video Processing, 2017 This paper presents a novel particle filter called Motion-Adaptive Particle Filter (MAPF) to track fast-moving objects that have complex dynamic movements.
Songxiao Cao, Xuanyin Wang, Ke Xiang
doaj +1 more source
Computationally efficient solutions for tracking people with a mobile robot: an experimental evaluation of Bayesian filters [PDF]
, 2010 Modern service robots will soon become an essential part of modern society. As they have to move and act in human environments, it is essential for them to be provided with a fast and reliable tracking system that localizes people in the neighbourhood ...
A. Tapus +14 more
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Particle Gaussian mixture filters-I
Automatica, 2018 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Raihan, Dilshad, Chakravorty, Suman
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Molecular Oncology, EarlyView.Adaptaquin selectively kills glioma stem cells while sparing differentiated brain cells. Transcriptomic and proteomic analyses show Adaptaquin disrupts iron and cholesterol homeostasis, with iron chelation amplifying cytotoxicity via cholesterol depletion, mitochondrial dysfunction, and elevated reactive oxygen species.
Adrien M. Vaquié +16 more
wiley +1 more source
Path storage in the particle filter
, 2014 This article considers the problem of storing the paths generated by a particle filter and more generally by a sequential Monte Carlo algorithm. It provides a theoretical result bounding the expected memory cost by $T + C N \log N$ where $T$ is the time ...
Jacob, Pierre E. +2 more
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Particle-filtering approaches for nonlinear Bayesian decoding of neuronal spike trains [PDF]
, 2018 The number of neurons that can be simultaneously recorded doubles every seven years. This ever increasing number of recorded neurons opens up the possibility to address new questions and extract higher dimensional stimuli from the recordings.
Kutschireiter, Anna +1 more
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Molecular Oncology, EarlyView.This study characterizes the responses of primary acute myeloid leukemia (AML) patient samples to the MCL‐1 inhibitor MIK665. The results revealed that monocytic differentiation is associated with MIK665 sensitivity. Conversely, elevated ABCB1 expression is a potential biomarker of resistance to the treatment, which can be overcome by the combination ...
Joseph Saad +17 more
wiley +1 more source
A New Modified Particle Filter With Application in Target Tracking
Iranian Journal of Electrical and Electronic Engineering, 2020 The particle filter (PF) is a novel technique that has sufficiently good estimation results for the nonlinear/non-Gaussian systems. However, PF is inconsistent that caused mainly by loss of particle diversity in resampling step and unknown a priori ...
R. Havangi
doaj
On parameter estimation of stochastic volatility models from stock data using particle filter - Application to AEX index - [PDF]
, 2009 We consider the problem of estimating stochastic volatility from stock data. The estimation of the volatility process of the Heston model is not in the usual framework of the filtering theory. Discretizing the continuous Heston model to the discrete-time
Aihara, ShinIchi +2 more
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Bernoulli Particle/Box-Particle Filters for Detection and Tracking in the Presence of Triple Measurement Uncertainty [PDF]
, 2012 This work presents sequential Bayesian detection and estimation methods for nonlinear dynamic stochastic systems using measurements affected by three sources of uncertainty: stochastic, set-theoretic and data association uncertainty.
Gning, Amadou +2 more
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